Photos | Urban Metropolis March
A crowd of nearly 50 people walk down a busy city street, passing by billboards and buildings in the heart of an urban metropolis.
BLIP-2 Description:
a large crowd of people walking down a streetChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
3504w x 2336h - (download 4k)
Usage
Dominant Color:
architecture menudeo stereos flag urban ropa building footwear eos pedestrian sidewalk al hat walkway crosswalk road outdoor intersection publico text crossing tarmac city shoe bag land street blue spfeakeis belt metropolis path billboards electronics sign banner zebra sneha deepthi tưs accessories trajes tres handbag spring vaqu walking canon home advertisement crowd
Detected Text
flash fired
true
iso
100
metering mode
5
aperture
f/4
focal length
17mm
shutter speed
1/500s
camera make
Canon
camera model
lens model
date
2006-05-01T11:23:23-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(33.28%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.39%)
failure
(-0.32%)
harmonious color
(-1.86%)
immersiveness
(1.86%)
interaction
(1.00%)
interesting subject
(-52.83%)
intrusive object presence
(-4.83%)
lively color
(4.62%)
low light
(6.42%)
noise
(-1.49%)
pleasant camera tilt
(-7.20%)
pleasant composition
(-66.06%)
pleasant lighting
(-19.64%)
pleasant pattern
(8.35%)
pleasant perspective
(1.54%)
pleasant post processing
(4.92%)
pleasant reflection
(-2.93%)
pleasant symmetry
(0.76%)
sharply focused subject
(0.17%)
tastefully blurred
(-4.55%)
well chosen subject
(-1.89%)
well framed subject
(-60.74%)
well timed shot
(2.76%)
all
(-2.46%)
* NOTE: Amazon Rekognition
detected a celebrity in this image using the
Celebrity Recognition API. The API isn't perfect, but it does give you the MatchConfidence which I display
next to the celebrity's name along with links _↗ to their info.
* WARNING: The title and caption of this image were generated by an AI LLM (gpt-3.5-turbo-0301
from
OpenAI)
based on a
BLIP-2 image-to-text labeling, tags,
location,
people
and album metadata from the image and are
potentially inaccurate, often hilariously so. If you'd like me to adjust anything,
just reach out.